Breaking the Algorithm: The Search for Authenticity in the Digital Age
By: Rodrigo Guerrero
In a reality where algorithms dominate the content we consume and it seems our devices are listening to us, the much-promised personalization can become a predictable and robotic experience. Thus, many of us seek ways to escape a homogeneity imposed upon us by large platforms like Google, Meta, or Amazon.
Apparently, this stems from a confusion on the part of our content providers, who still do not distinguish between what is good for their algorithms and what is valuable to their consumers. When search engine optimization (SEO) is targeted as a fundamental pillar, content is designed to please clicks. This obsession turns the web into a flat, digital experience that it overlaps with the subjective interpretation of our searches, our ability to curate, and the capacity to share and debate.
The algorithm continues to evolve: TikTok is blending video interaction and information with account settings for its FYP. Spotify combines natural language with audio mood and listening habits. However, it's inevitable to fall into content loops, and the true illusion of spontaneity soon fades.
For those of us who research, this is also an obstacle: the algorithm gives us the illusion of an answer, and finding original or disruptive viewpoints ultimately depends on the researcher's curiosity.
Where, then, do spontaneity and authenticity lie?
One possible answer lies in decentralization. Opting for first-hand curated content on platforms like Substack, where creators can maintain greater control over their content, or micro-communities in Discord, where fans can have more authentic interactions. Perfectly Imperfect it is a social network that challenges Meta's conventional format with a community-driven and unpretentious feed, while Friends With Benefits it's a DAO for creators who believe in the promise of a better internet.
Another answer is real-world interactions. Disconnecting from digital platforms and returning to face-to-face human interactions allows for a much more enriching and authentic experience.
For researchers, engaging further with users and experts, as well as applying ethnographic methodologies and observation in real-world contexts within daily practice, can provide more nuanced and layered conclusions, free from filters.
Escape the algorithm? Better to appropriate it
Although escaping the algorithm sounds appealing, the truth is that in many cases the speed and relevance offered by predictive systems are very useful. In the democratization of AI, for example, we are finding unexpected solutions.
Browsers like Arc offer intuitive and visual alternatives to search content, while platforms like Yelp they leverage real-time activity summaries to offer more human and contextual recommendations. BlueSky allows you to choose your own algorithm, maintaining control over your content and your digital identity.
My recommendation, instead of running away, is to embrace tools that make us feel more like people, and less as data feeding large tech platforms.
For daily life, small tactics like using profiles genderless, “Contaminating” algorithms by letting someone else use our accounts, or actively participating in community-curated content, are strategies recommended by Gerund to escape an algorithmic loop.
For men and women researchers, the key is to consciously look outside of bubbles, detecting and avoiding the reinforcement of biases and assumptions, to achieve more diverse and original results.
